Good Quantity Research Articles

OPTIMALISASI PENGIRIMAN BARANG UNTUK MEMAKSIMALKAN GROSS PROFIT PADA PT LOGISTIK ABC

The COVID-19 pandemic has had a significant impact on the Indonesian economy, particularly in the transportation and logistics sector. This sector has experienced fluctuations in financial performance triggered by the COVID-19 pandemic. However, after overcoming this challenging period, the Indonesian economy has shown positive trends. A leading logistics company, PT Logistik ABC, located in Jakarta, has a non-exclusive working agreement with a herbal medicine manufacturing company, PT XYZ. PT XYZ provides the required quantity of goods, but PT Logistik ABC is not obligated to fulfill the entire demand. The issue lies with PT Logistik ABC, as they transport goods from Jakarta to Semarang, but the fleet condition from Semarang to Jakarta is empty. With this situation, PT Logistik ABC aims for a higher gross profit by maximizing the available resources. Therefore, this study employs an optimization approach to optimize gross profit using non-linear programming. The optimal gross profit obtained is Rp150,893,000.00, representing 62% increase from the previous amount of Rp93,461,000.00.

Cross-Pacific Vessel Estimated Time of Arrival and Next Destination Prediction with Automatic Identification System Data

With the increase in global trade uncertainty and supply chain disruptions, accurately predicting the estimated time of arrival (ETA) of container vessels can effectively help carriers, terminals, and freight forwarders improve operational efficiency. The Asia-North America route has been recently under stress because of strikes and trade wars between the U.S. and China. Voyages are subject to multiple external factors leading to uncertainty in arrival times. This is especially true for cross-Pacific voyages, where long distances without intermediate port visits allow for a large feasible set of trajectories and vessel speed profiles. Large errors in ETA prediction not only hinder the effective planning and execution of other stakeholders but also lead to significant fluctuations in the types and quantities of goods arriving at the port, thereby hindering port competitiveness and efficient multimodal transportation. Existing literature focuses on estimating ETA and next positions for dense, compact areas at the vicinity of ports. We propose and evaluate model framework based on artificial neural networks (ANN) fed by automatic identification system (AIS) historical data to predict the next destination and ETA for cross-Pacific routes for cases where ETA from the captain is missing in the AIS data. Results show our model can effectively predict next destination and ETA of vessels, achieving a mean absolute error value of 4 h when the vessel is 1,500 nmi away from the port. For comparison, the ANN submodules are replaced with gradient boosted trees, providing similar results. We terminate by highlighting the challenges found to improve the model.

Evaluation of Nutritional and Functional Properties of Chasubi - A Traditional Food.

Chasubi, a rice flour-based flatbread is an ethnic delicacy in the Kakching district of Manipur, India. The present study explored the nutritional and functional properties of chasubi. Chasubi was prepared by mixing rice flour with, Allium tuberosum Rottl ex Spreng, Allium hookeri Thw, Zanthoxylum armatum DC, and fermented fish. A dough was prepared, rolled into round flatbread, transferred to banana leaves, and cooked. The proximate composition, antioxidant properties, physicochemical properties, texture profile and biochemical composition of chasubi were determined. The moisture content of the chasubi was in the range of intermediate moisture foods. The protein content of chasubi was 10.17 ± 1.46%. Chasubi was low in fat content (0.40 ± 0.07%) and had crude fibre in good amounts (1.28 ± 0.61%). The carbohydrate content and energy value of chasubi were 48.08% and 236.6kcal/100g. The antioxidant properties of chasubi are presented as 50% inhibitory concentration (IC50). Chasubi showed a high concentration of total phenolics (IC50 5.41 ± 0.37mg gallic acid equivalent/g) and the IC50 values of ferric reducing power assay and total flavonoid were 9.31 ± 1.69mg ferrous sulphate equivalent/g and 60.81 ± 11.70mg quercetin equivalent/g, respectively. The hardness and adhesiveness of the chasubi were 72.43N and 0.0589mJ, respectively. The Fourier transform infrared (FTIR) spectroscopy of chasubi showed phenolic peaks indicating that phenolics were preserved after cooking. In conclusion, chasubi is a high-protein, low-fat snack with good antioxidant properties. The physical properties of chasubi make it shelf-stable.

Navigating Inflationary Tides: An In-Depth Exploration of Inflation’s Impact on the Indian Economy and Strategic Approaches for Mitigation

Inflation occurs when the value of a currency diminishes over time, making it more expensive to buy the same goods and services than it was in the past. Imagine you're shopping for your daily essentials like groceries, fuel, or even clothing. Over time, you might notice that the prices of these items have gone up, meaning your money doesn't stretch as far as it used to. This rise in prices across a broad range of products is what we call inflation. At its core, inflation is driven by an imbalance where the money supply grows faster than the goods and services available. When there's more money floating around but the same amount of goods, people are willing to pay more for these goods, leading to higher prices. It's like an auction where more bidders show up, driving up the price of the item being sold. For India, the International Monetary Fund (IMF) has pointed out that even though the economy is bouncing back after the impact of COVID-19, there's a risk of rising inflation. The IMF suggests that as the recovery strengthens, India should slowly reduce the monetary policies that were supporting the economy during the downturn. One of the most effective tools central banks have to control inflation is adjusting interest rates. By raising interest rates, it becomes more expensive to borrow money, which slows down spending and investment, helping to cool off inflation.

Development of ready-to-eat nutri bar from black soybean (Kala Bhatt) and millets: Exploring traditional foods of Uttarakhand

BACKGROUND: Malnutrition, particularly insufficient intake of certain micronutrients, limits a child’s ability to survive, grow, and develop. It increases the rate of morbidity and mortality among the most vulnerable populations, which significantly lowers their productivity as an adult. While adopting strategies to tackle malnutrition, regional diets must also be considered. METHODS: Based on the nutritive values, some staple ingredients from Uttarakhand, such as black soybean, finger millet, and foxtail millet, have been utilized to develop a ready-to-eat (RTE) packaged nutri-bar. A sensory characteristic evaluation of the product has been carried out. The product has been evaluated in the laboratory for its proximate composition, some minerals, presence of heavy metals, pesticide, and shelf-life. RESULTS: The proximate composition of RTE nutri-bar includes protein content 18.16%, carbohydrate content 54.82%, total fats 12.13%, moisture 12.21%, and an ash value of 2.68%. Dietary fiber content is found to be 8.09%, and the energy evaluated for a 100-g sample is 401.09 Kcal. Calcium is present in very good amounts, that is, 478.44 mg/100 g. The amount of pesticide residues and added anti-oxidants are found below the level of quantification. CONCLUSION: The use of traditional foods in local communities has declined, but it may be revived with an appropriate framework, policy, and information sharing in conjunction with contextual food-based treatments.

Pionic transitions of the spin-2 partner of X(3872) to χcJ

We investigated the pionic transitions between the X2 [spin-2 partner of the X(3872)] and χc1,2 using a nonrelativistic effective field theory. The X2 is assumed to be a bound state of the D* and D¯* mesons and to decay through several kinds of loops, including the bubble, triangle, and box loops. Within the present model, the widths for the single-pion decays X2→π0χcJ are predicted to be about 3–30 keV. For the dipion decays, the widths are a few keVs. These widths yield a branching fraction of 10−3–10−2. The ratio Rc0=Γ(X2→π+π−χcJ)/Γ(X2→π0π0χcJ)≃1.6, which is a bit smaller than the expected value of 2, and R21=Γ(X2→ππχc2)/Γ(X2→ππχc1)≃0.85. These ratios are nearly independent of the X2 mass and the coupling constants, which might be a good quantity for the experiments. Moreover, the invariant mass spectra of the π0χcJ final state for the dipion processes are presented, showing a cusp structure at the DD¯* threshold enhanced and narrowed by the nearby triangle singularity. Published by the American Physical Society 2024

At stratos’ “cauldron”. Tsípouro distillation and qualitative moral economy in Evzonoi, Greece

Anthropological studies of moral economy are grounded in a quantitative conception of economics. In the theoretical slipstream of scholars such as James C. Scott or Edward P. Thompson, an authority extracting goods and services from a subordinate entity behaves morally if what remains for the latter is quantitatively sufficient for survival and social integration. The ultimate objective pursued in this paper is a contextual and alternative re-visiting of the moral economy. The context is provided by the activity at one of the two workshops for distillation commonly known as “cauldrons”– that of Strátos – in Évzonoi, Kilkis prefecture, Greece. He distils each autumn tsípouro, the renowned Greek brandy from grapes. The anthropological backdrop of behaviours at the cauldron was rooted in the trust that the two parties involved in the economic relationship fulfil their respective duties; for Strátos, among others duties, that of distilling a product of the highest quality, primarily related to safety for consumption. The alternative revisiting of the moral economy involves a redefinition of the safety-first principle, as was implied by J. C. Scott: a shift from safety concerning the quantity of goods and services one needs for survival and social integration to one related to their quality.

Green Synthesis of Quinazolinones via Selective Electro‐oxidation Using Iron Electrode and NaCl Electrolyte as an Eco‐friendly Electrolyte

AbstractPrimary alcohols 2(a–h) and o‐aminobenzamides 1(a–h) can be selectively oxidized electrochemically to yield dihydroquinazolinone 4(a–h) and quinazolinones 5(a–h) in an efficient and chemoselective manner. This methodology employs sodium chloride (NaCl) 3(a) as a co‐catalyst and electricity as the oxidizing agent, utilizing cost‐effective and commercially available materials such as Graphite anode, Iron (Fe) cathode, and isopropyl alcohol (iPrOH) as a solvent and weak base. The synthesis yields various quinazolinone derivatives with diverse structural characteristics in good quantities, showcasing the method‘s broad applicability. This approach facilitates the production of a range of dihydroquinazolinones and quinazolinones (24 examples), highlighting its versatility and compatibility with different functional groups. Characterization of the synthesized derivatives included CHN analysis, 1HNMR spectroscopy, and determination of melting points.

Changes in the Supply of Public Intermediate Goods, Fixed Wage, and the Relative Price in the Harris-Todaro Model

Since the Harris-Todaro model was proposed in 1970, it has played a crucial role in analyzing various environmental and trade issues in developing countries. This paper analyzes the effects of the amount of public intermediate goods provided by the government, the increase in the fixed wage rate in the urban sector, and the changes in the relative international prices of agricultural and manufacturing goods on labor employment, unemployment, and the economic welfare in the context of a small open economy. It also proposes relevant policies to reduce the unemployment rate while improving national welfare.

Demand study of freight transportation via railway of four commodity groups: A case study on Costa Rica's Pacific Coast Route

Having railway mobility as an option among transportation modes is of prime importance for the freight logistics of a country and the overall performance of its commerce sector. This work presents a case study in Costa Rica, where freight transportation via railway was formerly available during the last century but has not been in full service since 1995. Specifically, this paper assesses the link connecting the capital city of San Jose to the port of Caldera on the Pacific Ocean coast, henceforth referred to as the “Pacific Coast Route”. Although government institutions and industries alike have stressed the importance of its reactivation in recent years, few efforts have been made to specifically study this route with a level of detail that enables them to understand the composition of freight markets.This study presents a novel demand estimation differentiated by four types of commodities developed to calculate the potential amount of goods that could flow through this corridor, measured in monetary terms and as volumes. Trends in the expected share were analyzed to identify variables that may improve the attractiveness of the railway service and the participation of clients along the route from the country's main economic activities which includes the following: agriculture & livestock, manufacturing, minerals, and forestry.The four-step transportation model was chosen for its suitability towards this case study; where available data sets were limited, the information was aggregated into yearly values, and the network was defined with few transportation zones. Activity-based models were not feasible in this case due to the lack of information on complete routes and volume flows. The model evaluated a first scenario given the present design of the route and a second scenario involving improvements in the alignment and the addition of a new segment.Regarding the opportunities of moving goods according to their type, in terms of volume, minerals (48 %) and agricultural (31 %) have the largest shares of participation in this region, followed by manufacturing (20 %) and forestry products (1 %). However, the manufacturing sector stands out in financial terms, accounting for 71 % of the total value of goods mobilized in the study area.It was found that the demand is most sensible for changes in the service fare, while the benefits of shorter travel times and a larger attraction area in scenario 2 were not significant. A service fee of $USD 2.35/ton in average is recommended to reach a 30 % modal shift towards the railway (following the European Commission's goals to reduce CO2 emissions from freight transportation in 2030).Finally, recommendations for public policies are provided to the entities in the country in the sectors of Agriculture, Health, Energy and Environment, Transportation, and Public Services. The suggestions aim to develop the new railway project with a holistic perspective, considering the inclusion of less profitable economic activities of the surrounding communities that require connectivity, compliance with environmental commitments, and design for resilience while aiming for a financially feasible business model.

Growth and survival assessment from African lungfish (Clarias gariepinus) and its hybrid with two species of heterobranchus

Obtaining good quality and quantity of fish seeds for increasing fish production is a major quest by fish farmers. This study examined the growth responses and survival of Clarias gariepinus and two species of heterobranchus. One thousand five hundred (1500) fry (28-day after hatched) were randomly selected from each of the three crosses of Clarias gariepinus (T1), C. gariepinus x Heterobranchus longifilis (T2) and C. gariepinus x Heterobranchus bidorsalis (T3) broodstocks. They were stocked separately in triplicate at a stocking rate of 500 fish per replicate and reared for 90 days. The data were analysed for significant differences (P<0.05) by Analysis of Variance (ANOVA). There was no significant difference in the growth parameters but fish in T3 had the highest value of mean weight gain while T1 had the least. No significant difference (p>0.05) was observed in the body weight gains from day 40 to day 90 except at day 70 where T3 had the highest weight gain (18.97 g) which was significantly different (p<0.05) to the value recorded in T1 (18.20 g) but not significantly different (p>0.05) to the value recorded in T3 (18.97 g). The results of length increment showed that the growth pattern from day 0 to day 80 were similar. A little difference was observed at day 90 with T3 >T2>T1. The fish in T1 (Clarias gariepinus) had the highest significant percentage survival (89.60%). The results of water quality parameters showed that the mean temperature was 28oC, pH 6.8, dissolved oxygen 5.6 mg/l and turbidity 5.45 NYU. The culture of C. gariepinus by farmers will improve their output and consequentially increase in profit.Keywords: aquaculture; fish breeding; hybrids; weight gain

Analysing micrologistics initiatives in rural areas – Approaches to typologise and assess complex logistics solutions in regional supply networks

While demand for regional products increases and societal expectations towards a regionalisation of production are on the rise in Germany, little attention is given to the logistical challenges of local producers. At the same time, rural areas are confronted with declining supply options for goods of daily needs. Logistical challenges in rural areas are primarily caused by a scarcity of actors, low or fluctuating quantities of goods and long transport distances. A lack of economies of scale makes supply and logistics very costly. Given the rising interest and new possibilities created by digitisation, numerous private and public initiatives are developing solutions for sustainable regional logistics to secure and improve supply in rural areas - so called micrologistics solution. However, a meta-analysis of such regional logistics solutions is missing that identifies similarities and differences and indicates which characteristics are essential for the development of long-term viable regional logistics solutions.This article therefore aims at providing a general overview and at systematising current micrologistics solutions in rural regions, introducing a typology which is based on a meta-analysis of approximately 80 micrologistics initiatives in Germany and beyond. Referring to two case studies – Smart Village St. Wendel and UCKER Warentakt - we then focus analysis on solutions aiming at providing goods of daily need to the population in rural areas. We share lessons learnt on their characteristics, challenges and factors of success. This is done using a specifically developed morphological box, a viability and impact-oriented assessment framework for micrologistics initiatives as well as results of interviews with initiators and operators of such initiatives. We conclude on the usefulness of the analytical approaches developed for this new research field as well as further research needs.

Improving the efficiency of food supplies for a trading company based on an artificial neural network

This article presents the proper organization of the supply chain to meet consumer demand, which is crucial for modern commercial enterprises involved in the sale of various products. Studies indicate that a company's success is linked to the satisfaction of its customers. To optimize the supply chain, this study will consider the use of artificial neural network models. The results of this model will seek a balance between demand and supply, helping determine the necessary quantity of goods to satisfy demand and prevent overproduction. By using this model, the company can fully meet the needs of its customers. Additionally, the company saves its resources and labor costs and reallocates them to other tasks. The model demonstrates the optimization of production and supply business processes, as well as an increase in efficiency.

Copper(II) and Zinc(II) Complexes with Bacterial Prodigiosin Are Targeting Site III of Bovine Serum Albumin and Acting as DNA Minor Groove Binders.

The negative environmental and social impacts of food waste accumulation can be mitigated by utilizing bio-refineries' approach where food waste is revalorized into high-value products, such as prodigiosin (PG), using microbial bioprocesses. The diverse biological activities of PG position it as a promising compound, but its high production cost and promiscuous bioactivity hinder its wide application. Metal ions can modulate the electronic properties of organic molecules, leading to novel mechanisms of action and increased target potency, while metal complex formation can improve the stability, solubility and bioavailability of the parent compound. The objectives of this study were optimizing PG production through bacterial fermentation using food waste, allowing good quantities of the pure natural product for further synthesizing and evaluating copper(II) and zinc(II) complexes with it. Their antimicrobial and anticancer activities were assessed, and their binding affinity toward biologically important molecules, bovine serum albumin (BSA) and DNA was investigated by fluorescence emission spectroscopy and molecular docking. The yield of 83.1 mg/L of pure PG was obtained when processed meat waste at 18 g/L was utilized as the sole fermentation substrate. The obtained complexes CuPG and ZnPG showed high binding affinity towards target site III of BSA, and molecular docking simulations highlighted the affinity of the compounds for DNA minor grooves.

A REVIEW OF THE CAPE GELIDONYA AND ULUBURUN SHIPWRECKS SHED LIGHT ON CYPRUS MARITIME ACTIVITIES

Cyprus had an important place in the ancient Mediterranean trade thanks to its geostrategic location. The island, drew attention with its copper resources and ceramic products in the Bronze Age. Archaeological remains unearthed in Uluburun and Cape Gelidonya shipwrecks support this situation. The cargo of shipwrecks and the route they followed show both the extent of maritime trade during this period and Cyprus’ position in these commercial activities. The high ratio of Cypriot copper and ceramics to the total amount of goods in the shipwrecks is instructive in terms of understanding the role of Cyprus in the maritime activities. The hypothesis of their potential Cypriot origin is supported by the higher quantity of Cypriot-origin products found on these wrecks compared to others. The fact that Cyprus is an important port on the route followed by merchantships and even the view that it could be the initial departure point of them, makes it worth to consider. Accordingly, in this study, the Cape Gelidonya and Uluburun shipwrecks, and the Cypriot goods they contain are examined, and the active role of Cyprus in the maritime trade of the period is investigated.

Controlling merchandise inventory using the economic order quantity multi-item discount model method using Odoo software at UD. Ridho

UD. Ridho is a business based in Jl. Sudirman Pekan Dolok Masihul, Dolok Masihul District, Serdang Bedagai Regency, North Sumatra, deals in the sale and purchase of goods. The business had an accumulation of surplus inventory, or overstock, which damaged the goods and kept them from going bad. resulting in total losses of Rp 154,104,00 from January 2023 to June 2023. Orders are placed by UD. Ridho for goods from five vendors. The EOQ Multi Item Model Discount Method is applied in this study using the Odoo software. The EOQ Multi-Item Discount Model is a technique for optimizing inventory costs by placing orders for commodities based on economic order amounts from many suppliers. Product categories offered by UD. Ridho Sugar, rice, wheat flour, instant noodles, soy sauce, detergent, salt, water, and edible oil are the ingredients of UD. Ridho. The discount model is applied to goods that receive a discount from the seller according to the quantity of goods bought. Instant noodles, rice, detergent, edible oil, and aqua are the products that are discounted. Applying the multi-item discount model approach with economic order quantity at UD. Ridho was able to save Rp 21,893,660, or 3.02% of the total amount. The Odoo software, which has three modules—inventory, purchasing, and sales orders—can be used with this paradigm to construct an inventory management application

Comparative Analysis of Naïve Bayes and K-Nearest Neighbors Algorithms in Predicting Public Interest in Electric Motorcycles

Concerns about global warming and the need for sustainable transport solutions have led to the emergence of electric vehicles as an alternative to conventional vehicles. These vehicles offer cleaner and more efficient transportation, especially in urban areas. However, high costs in some countries, such as Indonesia, hinder their adoption. Electric motorcycle companies use previously recorded data to predict customer interest in purchasing their products. Based on these forecasts, business owners make decisions about the quantity of goods to supply. Researchers are increasingly using machine learning algorithms to study consumer behavior and predict demand for a variety of products, including electric motorcycles. The researchers have used this data-based method to analyze large amounts of consumer data, including online survey responses and reviews, as well as other sources. The study aims to perform a comparative analysis of the performance of the Naïve Bayes and K-Nearest Neighbors algorithms to predict public interest in electric motorcycles in Labuhanbatu district. We will perform a comparative analysis based on the performance evaluation matrix (accuracy, precision, recall, and f1 score) to determine the most suitable algorithm. The phases of the research methods included: data collection, exploratory data analysis, data preprocessing, splitting data, implementation of naïve bayes and k-nearest neighbors, and evaluation. The results showed that Naïve Bayes achieved an accuracy of 31.13%, precision of 83.33%, recall of 4.63%, and f1-score of 8.77%. In contrast, K-Nearest Neighbors attains an accuracy of 71.52% and a precision of 71.52%, recall 100%, and f1 score of 83,40%. According to the research results, K-nearest neighbors showed much better results in terms of accuracy, recall, and F1 scores. These results demonstrate that K-nearest neighbor is more effective in detecting public interest in electric motorcycles, and it strikes a better balance between identifying all positive cases and avoiding predictive errors.

System dynamics simulation follow-up fuzzy cognitive map for investigating the effect of risks on relief in crisis management

Given the significant threat posed by natural disasters like earthquakes to communities, it is important to assess the associated risks beforehand in order to minimize human and financial losses. This study focuses on identifying existing risks caused by an earthquake crisis by designing a network that evaluates its impact on urban infrastructure. The resulting system dynamics simulation model was used to analyze the frequency of different hazards and estimate the amount of relief goods needed in eight earthquake scenarios. The Fuzzy Cognitive Mapping (FCM) technique was also employed to determine the weight, impact, and effectiveness of each hazard, thus allowing for a ranking of the earthquake crisis scenarios based on their severity. FCM evaluation results showed that the most important and influential risks in an earthquake crisis were fire (with a weight value of 0.124), damage to first-class buildings (0.099), lack of hospital capacity (0.096), and damage to the power grid (0.095). Furthermore, it was observed that mitigating or eliminating the most significant risks would lead to a significant decrease in the demand for relief goods in each scenario. In fact, by addressing the top three earthquake risks, the demand for medicine reduced by 147%. Finally, the ranked results of the earthquake scenarios indicate that fire (with an impact of 12%), damage to the water network, and lack of capacity in relief centers (both with an impact of 6%) are the most and least effective risks, respectively.

Identifikasi Penyebab Korupsi dalam Prosedur Pengadaan Barang dan Jasa Pemerintah

This study shows solution to prevent a corruption in government procurement. This study was conducted using descriptive qualitative methods with secondary data collection through a literature review. The results of the research show that cases of corruption in the procurement of government goods and services in Indonesia are due to the lack of strong regulations for procurement of government goods/services and the ineffectiveness of the government procurement system for goods/services, such as poor quality and quantity of goods, wrong goods obtained, lack of clarity in other technical requirements. , as well as the slow implementation of procurement and delivery of required goods and services, which makes beneficiaries disappointed. Maladministration is also seen as an important component of corruption in goods and services procurement procedures.

Strategies of the Investment and One-Stop Integrated Service Office in Increasing Investment in Jember Regency

Economic growth in a region is influenced by investment. So that the existence of business actors either on a macro or micro scale contributes to subsequent economic growth. Therefore, the government must be responsible for the investment process so that all parts of society benefit from investment. This research argues that an adequate licensing system is interesting to study. This is because an adequate licensing system has a huge impact. For example, investment growth can increase the amount of goods or services sold, create added value, increase labor, and other economic resources. One of the objectives of this research is to find the strategies used by the efforts of the One-Stop Investment and Integrated Services Agency (DPMPTSP) in increasing investment in Jember Regency. In addition, this study also wanted to find out the factors that support and hinder the efforts of the One-Stop Investment and Integrated Services Office to increase investment in Jember Regency. The results of this study state that the Jember Regency government has created an investment strategy and improved the quality and skills of the community through training. Investors and businesses will better understand their responsibilities to report investment activities and conduct complete investment promotion activities. An additional strategy proposed by the DPMPTS of Jember Regency is local regulations relating to the investment sector. This research uses Brayson's theory explaining that strategic planning is conducted using five indicators: establishing the vision, mission and goals of the organization; conducting an analysis of the internal and external environment; finding strategic issues; and then creating a strategy. The conclusion shows that of the five measurement criteria four of them run satisfactorily. While one of them is not good, namely the strategy developed by DPMPTSP Jember Regency is less than optimal as in the case of the absence of local regulations that can support future investment, the absence of a potential map and opportunity map, as well as limited internal and external human resources.